Graph Databases
Graph databases are a type of NoSQL database that use graph theory to store, map, and query relationships between data. In a graph database, data is represented as nodes and edges, where nodes represent entities (such as people, places, or things) and edges represent the relationships between those entities. Graph databases are particularly useful for managing complex and highly connected data, such as social networks, recommendation engines, and fraud detection systems. They allow for efficient querying of relationships between data points, and can provide insights that are difficult or impossible to obtain with traditional relational databases. Graph databases can be used in conjunction with other data storage and processing technologies, such as Hadoop and Spark, to create powerful data analytics pipelines.
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